Smarter Ways to Gain Skills
Explore innovative approaches to skill acquisition in cybersecurity, including apprenticeship models, mind maps, and data-driven learning, as presented at BSidesPhilly 2017.
Performance Engineering at MasterCard
Explore high-volume, low-latency performance engineering at MasterCard, covering real-time fraud detection, system architecture, testing strategies, and optimization techniques for millisecond-level transaction processing.
So You Wanna Go Fast
Explore Go's performance optimization techniques for latency-sensitive systems, including channels, interfaces, and mechanical sympathy, with insights on trade-offs and lessons learned.
Building Languages in Rust
Explore building a Scheme-like language compiler in Rust, comparing its performance with C-based implementations and discussing the pros and cons of using Rust for language development.
Benchmarking - You're Doing It Wrong
Discover common pitfalls in benchmarking and learn techniques to create accurate, meaningful performance measurements for your systems, guiding effective optimization efforts.
Scaling Microservices with Message Queues, .NET, and Kubernetes
Explore microservices scaling using message queues, .NET, and Kubernetes. Learn to design, package, and deploy reliable applications with autoscaling for improved performance and robustness.
A Linux Kernel Implementation of the Homa Transport Protocol
Explore Homa/Linux: a high-performance transport protocol outperforming TCP and DCTCP in latency and congestion control, with potential for further optimization through software overhead reduction.
AntMan - Dynamic Scaling on GPU Cluster for Deep Learning
Dynamic scaling system for efficient GPU utilization in deep learning, improving memory and computation usage without compromising fairness or performance in large-scale clusters.
How Stripe Invests in Technical Infrastructure
Explore Stripe's approach to prioritizing technical infrastructure investments, balancing firefighting and innovation, and enabling long-term success through strategic decision-making and resource allocation.
Characterizing, Modeling, and Benchmarking RocksDB Key-Value Workloads at Facebook
Detailed analysis of RocksDB workloads at Facebook, revealing key-value usage patterns and proposing improved benchmarking methods for more accurate representation of real-world scenarios.
Linux Systems Performance
Comprehensive overview of Linux systems performance, covering tools, methodologies, and techniques for analysis and tuning. Ideal for developers and sysadmins seeking to optimize Linux environments.
Whoops! I Rewrote it in Rust
Explore rewriting a C caching framework in Rust, discussing performance challenges, benefits of Rust tooling, and new features like efficient TTL sorting and PMEM support.
FPs Are Cheap - Show Me the CVEs
Evaluating SAST tools: Learn how to assess their effectiveness in finding real vulnerabilities using synthetic test suites and practical examples of CVEs.
The Things Scala.js Does to Make Your Code Fast
Explore Scala.js optimizer's performance enhancements, including closure elimination and idiomatic Scala code optimization, to write efficient Scala.js programs that rival hand-written JavaScript.
Profiling to Make Your Rails App Faster
Learn to identify and optimize slow code in Rails apps using profiling tools and best practices for improved performance.
Allocating Less - Really Thin Rust Cloud Apps
Optimize Rust cloud apps for minimal memory usage through profiling, improved APIs, efficient data structures, and smart allocation choices. Boost performance with practical tips and benchmarking strategies.
Monitoring Your Back-End for Speed and Profit
Discover techniques for monitoring and optimizing PHP backend performance, focusing on tools like XHProf and HAR format files. Learn from BBC's experience preparing for high-traffic events.
Fast, Approximate Vector Queries on Very Large Unstructured Datasets
Explore Auncel, a vector query engine for large datasets, offering bounded errors and latencies. Learn how it outperforms existing solutions in processing high-dimensional data efficiently.
Running Spring Boot Applications as GraalVM Native Images
Explore GraalVM native images for Spring Boot: instant startup, low memory, and ecosystem readiness. Compare OpenJDK, GraalVM CE, and EE with real-world benchmarks and implementation insights.
GraalVM - Run Programs Faster Everywhere
Explore GraalVM's polyglot capabilities, performance enhancements, and versatile deployment options for Java and other languages, with demos showcasing its power across various scenarios.
How to Not Do Benchmarking
Discover common pitfalls in Java benchmarking and learn best practices for accurate performance testing through entertaining negative examples and expert insights.